Overview

Dataset statistics

Number of variables30
Number of observations3216
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory778.9 KiB
Average record size in memory248.0 B

Variable types

Numeric30

Alerts

Dataset has 2 (0.1%) duplicate rowsDuplicates
B.A.C...C.l.o.s.e is highly overall correlated with B.A.C...H.i.g.h and 24 other fieldsHigh correlation
B.A.C...H.i.g.h is highly overall correlated with B.A.C...C.l.o.s.e and 23 other fieldsHigh correlation
B.A.C...L.o.w is highly overall correlated with B.A.C...C.l.o.s.e and 24 other fieldsHigh correlation
B.A.C...O.p.e.n is highly overall correlated with B.A.C...C.l.o.s.e and 23 other fieldsHigh correlation
B.A.C...V.o.l.u.m.e is highly overall correlated with B.A.C...C.l.o.s.e and 21 other fieldsHigh correlation
C...C.l.o.s.e is highly overall correlated with B.A.C...C.l.o.s.e and 22 other fieldsHigh correlation
C...H.i.g.h is highly overall correlated with B.A.C...C.l.o.s.e and 22 other fieldsHigh correlation
C...L.o.w is highly overall correlated with B.A.C...C.l.o.s.e and 22 other fieldsHigh correlation
C...O.p.e.n is highly overall correlated with B.A.C...C.l.o.s.e and 22 other fieldsHigh correlation
C...V.o.l.u.m.e is highly overall correlated with B.A.C...C.l.o.s.e and 12 other fieldsHigh correlation
G.S...C.l.o.s.e is highly overall correlated with B.A.C...C.l.o.s.e and 24 other fieldsHigh correlation
G.S...H.i.g.h is highly overall correlated with B.A.C...C.l.o.s.e and 24 other fieldsHigh correlation
G.S...L.o.w is highly overall correlated with B.A.C...C.l.o.s.e and 24 other fieldsHigh correlation
G.S...O.p.e.n is highly overall correlated with B.A.C...C.l.o.s.e and 24 other fieldsHigh correlation
G.S...V.o.l.u.m.e is highly overall correlated with J.P.M...V.o.l.u.m.e and 2 other fieldsHigh correlation
J.P.M...C.l.o.s.e is highly overall correlated with B.A.C...C.l.o.s.e and 24 other fieldsHigh correlation
J.P.M...H.i.g.h is highly overall correlated with B.A.C...C.l.o.s.e and 24 other fieldsHigh correlation
J.P.M...L.o.w is highly overall correlated with B.A.C...C.l.o.s.e and 24 other fieldsHigh correlation
J.P.M...O.p.e.n is highly overall correlated with B.A.C...C.l.o.s.e and 24 other fieldsHigh correlation
J.P.M...V.o.l.u.m.e is highly overall correlated with B.A.C...C.l.o.s.e and 17 other fieldsHigh correlation
M.S...C.l.o.s.e is highly overall correlated with B.A.C...C.l.o.s.e and 23 other fieldsHigh correlation
M.S...H.i.g.h is highly overall correlated with B.A.C...C.l.o.s.e and 23 other fieldsHigh correlation
M.S...L.o.w is highly overall correlated with B.A.C...C.l.o.s.e and 23 other fieldsHigh correlation
M.S...O.p.e.n is highly overall correlated with B.A.C...C.l.o.s.e and 23 other fieldsHigh correlation
M.S...V.o.l.u.m.e is highly overall correlated with G.S...V.o.l.u.m.e and 2 other fieldsHigh correlation
W.F.C...C.l.o.s.e is highly overall correlated with B.A.C...C.l.o.s.e and 25 other fieldsHigh correlation
W.F.C...H.i.g.h is highly overall correlated with B.A.C...C.l.o.s.e and 25 other fieldsHigh correlation
W.F.C...L.o.w is highly overall correlated with B.A.C...C.l.o.s.e and 25 other fieldsHigh correlation
W.F.C...O.p.e.n is highly overall correlated with B.A.C...C.l.o.s.e and 25 other fieldsHigh correlation
W.F.C...V.o.l.u.m.e is highly overall correlated with B.A.C...V.o.l.u.m.e and 7 other fieldsHigh correlation
B.A.C...V.o.l.u.m.e has 116 (3.6%) zerosZeros
C...V.o.l.u.m.e has 115 (3.6%) zerosZeros
G.S...V.o.l.u.m.e has 114 (3.5%) zerosZeros
J.P.M...V.o.l.u.m.e has 114 (3.5%) zerosZeros
M.S...V.o.l.u.m.e has 114 (3.5%) zerosZeros
W.F.C...V.o.l.u.m.e has 114 (3.5%) zerosZeros

Reproduction

Analysis started2022-12-05 03:47:12.614531
Analysis finished2022-12-05 03:51:55.105831
Duration4 minutes and 42.49 seconds
Software versionpandas-profiling vv3.5.0
Download configurationconfig.json

Variables

B.A.C...C.l.o.s.e
Real number (ℝ)

Distinct1844
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.076423
Minimum3.14
Maximum54.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:51:55.374160image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum3.14
5-th percentile7.1375
Q113.19
median16.19
Q328.1175
95-th percentile51.545
Maximum54.9
Range51.76
Interquartile range (IQR)14.9275

Descriptive statistics

Standard deviation14.058556
Coefficient of variation (CV)0.63681314
Kurtosis-0.10880564
Mean22.076423
Median Absolute Deviation (MAD)4.94
Skewness1.1055012
Sum70997.776
Variance197.643
MonotonicityNot monotonic
2022-12-05T06:51:55.863112image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.25 9
 
0.3%
16.09 8
 
0.2%
15.65 8
 
0.2%
16.35 8
 
0.2%
15.52 8
 
0.2%
17.01 8
 
0.2%
13.27 8
 
0.2%
15.2 7
 
0.2%
17.47 7
 
0.2%
16.72 7
 
0.2%
Other values (1834) 3138
97.6%
ValueCountFrequency (%)
3.14 1
< 0.1%
3.17 1
< 0.1%
3.59 1
< 0.1%
3.63 1
< 0.1%
3.65 1
< 0.1%
3.75 1
< 0.1%
3.79 1
< 0.1%
3.91 1
< 0.1%
3.93 1
< 0.1%
3.95 1
< 0.1%
ValueCountFrequency (%)
54.9 2
0.1%
54.85 1
 
< 0.1%
54.83 1
 
< 0.1%
54.82 1
 
< 0.1%
54.77 1
 
< 0.1%
54.72 1
 
< 0.1%
54.69 1
 
< 0.1%
54.63 3
0.1%
54.61 1
 
< 0.1%
54.56 1
 
< 0.1%

B.A.C...H.i.g.h
Real number (ℝ)

Distinct1896
Distinct (%)59.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.356506
Minimum3.51
Maximum55.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:51:56.377831image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum3.51
5-th percentile7.32
Q113.38735
median16.3725
Q328.97
95-th percentile51.9
Maximum55.08
Range51.57
Interquartile range (IQR)15.58265

Descriptive statistics

Standard deviation14.148588
Coefficient of variation (CV)0.63286225
Kurtosis-0.14654596
Mean22.356506
Median Absolute Deviation (MAD)5.0125
Skewness1.0952346
Sum71898.522
Variance200.18255
MonotonicityNot monotonic
2022-12-05T06:51:56.787549image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.7 9
 
0.3%
16.73 9
 
0.3%
51.25 8
 
0.2%
14.69 8
 
0.2%
17.3 8
 
0.2%
14.47 8
 
0.2%
15.65 8
 
0.2%
17.15 8
 
0.2%
16.75 8
 
0.2%
17.31 7
 
0.2%
Other values (1886) 3135
97.5%
ValueCountFrequency (%)
3.51 1
< 0.1%
3.54 1
< 0.1%
3.77 1
< 0.1%
3.92 1
< 0.1%
4.03 1
< 0.1%
4.08 1
< 0.1%
4.09 1
< 0.1%
4.48 1
< 0.1%
4.68 1
< 0.1%
4.75 1
< 0.1%
ValueCountFrequency (%)
55.08 1
< 0.1%
55.05 2
0.1%
55 1
< 0.1%
54.99 1
< 0.1%
54.98 1
< 0.1%
54.93 1
< 0.1%
54.92 2
0.1%
54.87 1
< 0.1%
54.85 1
< 0.1%
54.8 1
< 0.1%

B.A.C...L.o.w
Real number (ℝ)

Distinct1909
Distinct (%)59.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.809071
Minimum2.53
Maximum54.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:51:57.275059image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum2.53
5-th percentile6.9675
Q113
median16.01
Q327.635
95-th percentile51.2
Maximum54.82
Range52.29
Interquartile range (IQR)14.635

Descriptive statistics

Standard deviation13.956123
Coefficient of variation (CV)0.63992284
Kurtosis-0.07637003
Mean21.809071
Median Absolute Deviation (MAD)4.925
Skewness1.1137479
Sum70137.973
Variance194.77336
MonotonicityNot monotonic
2022-12-05T06:51:57.668875image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15.5 12
 
0.4%
15.9 11
 
0.3%
15.15 10
 
0.3%
15.2 10
 
0.3%
15.25 9
 
0.3%
15.4 8
 
0.2%
15.43 8
 
0.2%
14.45 7
 
0.2%
15.38 7
 
0.2%
7.95 7
 
0.2%
Other values (1899) 3127
97.2%
ValueCountFrequency (%)
2.53 1
< 0.1%
3 1
< 0.1%
3.12 1
< 0.1%
3.2 1
< 0.1%
3.27 1
< 0.1%
3.38 1
< 0.1%
3.57 1
< 0.1%
3.77 1
< 0.1%
3.82 1
< 0.1%
3.86 2
0.1%
ValueCountFrequency (%)
54.82 1
< 0.1%
54.72 1
< 0.1%
54.59 1
< 0.1%
54.51 1
< 0.1%
54.46 1
< 0.1%
54.42 2
0.1%
54.38 1
< 0.1%
54.33 1
< 0.1%
54.28 1
< 0.1%
54.27 2
0.1%

B.A.C...O.p.e.n
Real number (ℝ)

Distinct1921
Distinct (%)59.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.097833
Minimum3.22
Maximum55.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:51:58.020264image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum3.22
5-th percentile7.145
Q113.21375
median16.2
Q328.235
95-th percentile51.6
Maximum55.04
Range51.82
Interquartile range (IQR)15.02125

Descriptive statistics

Standard deviation14.057045
Coefficient of variation (CV)0.63612777
Kurtosis-0.11152572
Mean22.097833
Median Absolute Deviation (MAD)4.97925
Skewness1.1046689
Sum71066.632
Variance197.60053
MonotonicityNot monotonic
2022-12-05T06:51:58.392656image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.16 9
 
0.3%
15.26 9
 
0.3%
15.45 8
 
0.2%
15.59 8
 
0.2%
15.72 8
 
0.2%
15.55 7
 
0.2%
16.21 7
 
0.2%
15.6 7
 
0.2%
17.08 7
 
0.2%
16 7
 
0.2%
Other values (1911) 3139
97.6%
ValueCountFrequency (%)
3.22 1
< 0.1%
3.29 1
< 0.1%
3.38 1
< 0.1%
3.4 1
< 0.1%
3.61 2
0.1%
3.95 1
< 0.1%
4.03 1
< 0.1%
4.06 1
< 0.1%
4.25 1
< 0.1%
4.29 1
< 0.1%
ValueCountFrequency (%)
55.04 1
< 0.1%
55 1
< 0.1%
54.85 2
0.1%
54.77 1
< 0.1%
54.73 1
< 0.1%
54.68 2
0.1%
54.57 1
< 0.1%
54.56 2
0.1%
54.55 2
0.1%
54.52 1
< 0.1%

B.A.C...V.o.l.u.m.e
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct3100
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2059824 × 108
Minimum0
Maximum1.2267913 × 109
Zeros116
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:51:58.740146image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8938725
Q150354630
median90325679
Q31.5590082 × 108
95-th percentile3.3793771 × 108
Maximum1.2267913 × 109
Range1.2267913 × 109
Interquartile range (IQR)1.0554619 × 108

Descriptive statistics

Standard deviation1.1713274 × 108
Coefficient of variation (CV)0.97126404
Kurtosis10.880375
Mean1.2059824 × 108
Median Absolute Deviation (MAD)50764484
Skewness2.5658027
Sum3.8784395 × 1011
Variance1.3720078 × 1016
MonotonicityNot monotonic
2022-12-05T06:51:59.121407image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 116
 
3.6%
8219900 2
 
0.1%
62115774 1
 
< 0.1%
67402402 1
 
< 0.1%
105006477 1
 
< 0.1%
167048671 1
 
< 0.1%
156026291 1
 
< 0.1%
118499989 1
 
< 0.1%
98348557 1
 
< 0.1%
97573715 1
 
< 0.1%
Other values (3090) 3090
96.1%
ValueCountFrequency (%)
0 116
3.6%
4836000 1
 
< 0.1%
5656300 1
 
< 0.1%
6660400 1
 
< 0.1%
6842500 1
 
< 0.1%
7139600 1
 
< 0.1%
7166200 1
 
< 0.1%
7187500 1
 
< 0.1%
7215400 1
 
< 0.1%
7223300 1
 
< 0.1%
ValueCountFrequency (%)
1226791285 1
< 0.1%
1073205530 1
< 0.1%
1019128267 1
< 0.1%
919135918 1
< 0.1%
918050913 1
< 0.1%
859643322 1
< 0.1%
859568500 1
< 0.1%
832048986 1
< 0.1%
793762218 1
< 0.1%
744720696 1
< 0.1%

C...C.l.o.s.e
Real number (ℝ)

Distinct2236
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.12019
Minimum10.2
Maximum564.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:51:59.492940image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.2
5-th percentile28.17
Q141.1975
median50.365
Q375.4925
95-th percentile506.95
Maximum564.1
Range553.9
Interquartile range (IQR)34.295

Descriptive statistics

Standard deviation163.65657
Coefficient of variation (CV)1.2674747
Kurtosis1.0925717
Mean129.12019
Median Absolute Deviation (MAD)12.365
Skewness1.673017
Sum415250.53
Variance26783.473
MonotonicityNot monotonic
2022-12-05T06:51:59.824364image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.8 12
 
0.4%
44.2 9
 
0.3%
40.6 9
 
0.3%
41.7 8
 
0.2%
44.5 8
 
0.2%
44.3 8
 
0.2%
34 7
 
0.2%
47 7
 
0.2%
39.1 7
 
0.2%
45.2 7
 
0.2%
Other values (2226) 3134
97.5%
ValueCountFrequency (%)
10.2 1
< 0.1%
10.3 1
< 0.1%
10.5 1
< 0.1%
11.3 1
< 0.1%
12 1
< 0.1%
12.2 1
< 0.1%
14.5 1
< 0.1%
15 1
< 0.1%
15.4 1
< 0.1%
16.7 1
< 0.1%
ValueCountFrequency (%)
564.1 1
 
< 0.1%
558.8 1
 
< 0.1%
557 3
0.1%
554.4 1
 
< 0.1%
552.5 1
 
< 0.1%
552.3 1
 
< 0.1%
552 1
 
< 0.1%
551.9 1
 
< 0.1%
551.6 1
 
< 0.1%
551.3 1
 
< 0.1%

C...H.i.g.h
Real number (ℝ)

Distinct2275
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.84961
Minimum10.7
Maximum570
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:00.275460image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.7
5-th percentile28.9975
Q141.8
median50.905
Q376.291225
95-th percentile509.5
Maximum570
Range559.3
Interquartile range (IQR)34.491225

Descriptive statistics

Standard deviation165.13179
Coefficient of variation (CV)1.2619968
Kurtosis1.0516396
Mean130.84961
Median Absolute Deviation (MAD)12.035
Skewness1.6607558
Sum420812.33
Variance27268.508
MonotonicityNot monotonic
2022-12-05T06:52:00.687481image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.5 10
 
0.3%
44.8 10
 
0.3%
41.9 10
 
0.3%
41.6 8
 
0.2%
40.3 8
 
0.2%
41.5 8
 
0.2%
42.4 8
 
0.2%
49 7
 
0.2%
48 7
 
0.2%
41.7 7
 
0.2%
Other values (2265) 3133
97.4%
ValueCountFrequency (%)
10.7 1
< 0.1%
10.8 1
< 0.1%
11.1 1
< 0.1%
13.1 1
< 0.1%
13.9 1
< 0.1%
14.5 1
< 0.1%
16 1
< 0.1%
16.7 1
< 0.1%
17.2 1
< 0.1%
18.9 1
< 0.1%
ValueCountFrequency (%)
570 1
 
< 0.1%
566.7 1
 
< 0.1%
562.8 1
 
< 0.1%
561.5 1
 
< 0.1%
560.9 3
0.1%
556.1 1
 
< 0.1%
555.5 1
 
< 0.1%
555.3 2
0.1%
555.2 1
 
< 0.1%
555 1
 
< 0.1%

C...L.o.w
Real number (ℝ)

Distinct2285
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.59742
Minimum9.7
Maximum555.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:01.085999image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum9.7
5-th percentile27.545
Q140.66625
median49.925
Q374.66
95-th percentile503.2
Maximum555.5
Range545.8
Interquartile range (IQR)33.99375

Descriptive statistics

Standard deviation162.30693
Coefficient of variation (CV)1.2720236
Kurtosis1.1214089
Mean127.59742
Median Absolute Deviation (MAD)12.4995
Skewness1.681876
Sum410353.3
Variance26343.539
MonotonicityNot monotonic
2022-12-05T06:52:01.440689image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39 10
 
0.3%
41.5 9
 
0.3%
43.9 8
 
0.2%
38.5 8
 
0.2%
41.4 8
 
0.2%
39.1 8
 
0.2%
39.4 8
 
0.2%
37.1 7
 
0.2%
41.6 7
 
0.2%
47.6 7
 
0.2%
Other values (2275) 3136
97.5%
ValueCountFrequency (%)
9.7 1
< 0.1%
9.9 1
< 0.1%
10 1
< 0.1%
10.5 1
< 0.1%
11.1 1
< 0.1%
11.5 1
< 0.1%
12.1 1
< 0.1%
14 1
< 0.1%
14.6 1
< 0.1%
14.8 1
< 0.1%
ValueCountFrequency (%)
555.5 4
0.1%
551.2 1
 
< 0.1%
549.4 1
 
< 0.1%
548.5 1
 
< 0.1%
547.8 1
 
< 0.1%
547.4 3
0.1%
547.2 3
0.1%
546.6 1
 
< 0.1%
546.5 1
 
< 0.1%
546.2 1
 
< 0.1%

C...O.p.e.n
Real number (ℝ)

Distinct2232
Distinct (%)69.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.3424
Minimum10.2
Maximum566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:01.867673image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.2
5-th percentile28.3875
Q141.375
median50.425
Q375.71
95-th percentile506.425
Maximum566
Range555.8
Interquartile range (IQR)34.335

Descriptive statistics

Standard deviation163.79606
Coefficient of variation (CV)1.2663756
Kurtosis1.0837718
Mean129.3424
Median Absolute Deviation (MAD)12.145
Skewness1.6705788
Sum415965.15
Variance26829.148
MonotonicityNot monotonic
2022-12-05T06:52:02.300383image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44.6 9
 
0.3%
39.5 8
 
0.2%
42.3 8
 
0.2%
41.3 8
 
0.2%
41.4 8
 
0.2%
33.9 8
 
0.2%
48.5 8
 
0.2%
40.8 8
 
0.2%
41 8
 
0.2%
39.6 7
 
0.2%
Other values (2222) 3136
97.5%
ValueCountFrequency (%)
10.2 1
< 0.1%
10.6 1
< 0.1%
11 1
< 0.1%
12.4 1
< 0.1%
13 1
< 0.1%
13.2 1
< 0.1%
15 1
< 0.1%
15.4 1
< 0.1%
15.6 1
< 0.1%
16.7 1
< 0.1%
ValueCountFrequency (%)
566 1
 
< 0.1%
558.5 3
0.1%
556.6 1
 
< 0.1%
554.2 1
 
< 0.1%
552.5 1
 
< 0.1%
552.4 1
 
< 0.1%
551.8 1
 
< 0.1%
551.7 2
0.1%
551.3 2
0.1%
551.2 3
0.1%

C...V.o.l.u.m.e
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct3102
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25545399
Minimum0
Maximum3.7726384 × 108
Zeros115
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:02.786610image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1050812.5
Q110739833
median19097090
Q333712730
95-th percentile70026529
Maximum3.7726384 × 108
Range3.7726384 × 108
Interquartile range (IQR)22972898

Descriptive statistics

Standard deviation25145736
Coefficient of variation (CV)0.98435481
Kurtosis21.36891
Mean25545399
Median Absolute Deviation (MAD)11204244
Skewness3.0606571
Sum8.2154003 × 1010
Variance6.3230806 × 1014
MonotonicityNot monotonic
2022-12-05T06:52:03.225903image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 115
 
3.6%
32540249 1
 
< 0.1%
26135925 1
 
< 0.1%
18929683 1
 
< 0.1%
19517186 1
 
< 0.1%
30308826 1
 
< 0.1%
33885644 1
 
< 0.1%
38406929 1
 
< 0.1%
21170311 1
 
< 0.1%
17486616 1
 
< 0.1%
Other values (3092) 3092
96.1%
ValueCountFrequency (%)
0 115
3.6%
373 1
 
< 0.1%
22134 1
 
< 0.1%
632860 1
 
< 0.1%
725510 1
 
< 0.1%
736780 1
 
< 0.1%
742970 1
 
< 0.1%
765290 1
 
< 0.1%
776270 1
 
< 0.1%
778310 1
 
< 0.1%
ValueCountFrequency (%)
377263842 1
< 0.1%
281369715 1
< 0.1%
244936811 1
< 0.1%
189292676 1
< 0.1%
186419422 1
< 0.1%
186415907 1
< 0.1%
186006678 1
< 0.1%
170724581 1
< 0.1%
153653670 1
< 0.1%
145425657 1
< 0.1%

G.S...C.l.o.s.e
Real number (ℝ)

Distinct2750
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.0542
Minimum52
Maximum273.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:03.674731image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile95.645
Q1145.555
median165.11
Q3191.82
95-th percentile241.71
Maximum273.38
Range221.38
Interquartile range (IQR)46.265

Descriptive statistics

Standard deviation41.690002
Coefficient of variation (CV)0.24807474
Kurtosis-0.18814987
Mean168.0542
Median Absolute Deviation (MAD)23.3
Skewness0.06398155
Sum540462.31
Variance1738.0563
MonotonicityNot monotonic
2022-12-05T06:52:04.048712image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
163.97 5
 
0.2%
180.23 4
 
0.1%
159.53 4
 
0.1%
148.25 4
 
0.1%
225.12 3
 
0.1%
169.73 3
 
0.1%
174.9 3
 
0.1%
119.44 3
 
0.1%
150.43 3
 
0.1%
152.2 3
 
0.1%
Other values (2740) 3181
98.9%
ValueCountFrequency (%)
52 1
< 0.1%
53.31 1
< 0.1%
55.18 1
< 0.1%
59.2 1
< 0.1%
62.03 1
< 0.1%
62.49 1
< 0.1%
65 1
< 0.1%
65.76 1
< 0.1%
66.46 1
< 0.1%
66.73 1
< 0.1%
ValueCountFrequency (%)
273.38 1
< 0.1%
272.48 1
< 0.1%
272.23 1
< 0.1%
271.26 1
< 0.1%
270.77 1
< 0.1%
269.03 1
< 0.1%
268.94 1
< 0.1%
268.53 1
< 0.1%
268.14 1
< 0.1%
267.93 1
< 0.1%

G.S...H.i.g.h
Real number (ℝ)

Distinct2747
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169.97448
Minimum54.54
Maximum275.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:04.433479image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum54.54
5-th percentile97.5
Q1147.4075
median166.645
Q3193.5025
95-th percentile243.67
Maximum275.31
Range220.77
Interquartile range (IQR)46.095

Descriptive statistics

Standard deviation41.790752
Coefficient of variation (CV)0.24586486
Kurtosis-0.20248484
Mean169.97448
Median Absolute Deviation (MAD)23.265
Skewness0.087191276
Sum546637.92
Variance1746.4669
MonotonicityNot monotonic
2022-12-05T06:52:05.006384image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
178 5
 
0.2%
159.7 5
 
0.2%
165 5
 
0.2%
167.8 5
 
0.2%
160 5
 
0.2%
170 4
 
0.1%
162 4
 
0.1%
157.25 4
 
0.1%
169.99 4
 
0.1%
152 4
 
0.1%
Other values (2737) 3171
98.6%
ValueCountFrequency (%)
54.54 1
< 0.1%
57.54 1
< 0.1%
63.45 1
< 0.1%
65.5 1
< 0.1%
66.33 1
< 0.1%
67 1
< 0.1%
68.31 1
< 0.1%
69.87 1
< 0.1%
70 1
< 0.1%
70.1 2
0.1%
ValueCountFrequency (%)
275.31 1
< 0.1%
275.03 1
< 0.1%
273.79 1
< 0.1%
273.12 1
< 0.1%
272.59 1
< 0.1%
272 1
< 0.1%
271.78 1
< 0.1%
271.75 1
< 0.1%
271.09 1
< 0.1%
270.78 1
< 0.1%

G.S...L.o.w
Real number (ℝ)

Distinct2761
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.04733
Minimum47.41
Maximum270.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:05.252850image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum47.41
5-th percentile93.7375
Q1143.925
median163.37
Q3189.79352
95-th percentile240
Maximum270.77
Range223.36
Interquartile range (IQR)45.868525

Descriptive statistics

Standard deviation41.669183
Coefficient of variation (CV)0.25094762
Kurtosis-0.16250723
Mean166.04733
Median Absolute Deviation (MAD)23.175
Skewness0.038253795
Sum534008.22
Variance1736.3208
MonotonicityNot monotonic
2022-12-05T06:52:05.508350image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
157 7
 
0.2%
178.5 5
 
0.2%
198 4
 
0.1%
184.6 4
 
0.1%
144.06 4
 
0.1%
158 4
 
0.1%
151.5 4
 
0.1%
157.5 4
 
0.1%
175.57 4
 
0.1%
159.28 4
 
0.1%
Other values (2751) 3172
98.6%
ValueCountFrequency (%)
47.41 1
< 0.1%
49 1
< 0.1%
54.54 1
< 0.1%
55.27 1
< 0.1%
59.13 1
< 0.1%
60.22 1
< 0.1%
60.56 1
< 0.1%
61.02 1
< 0.1%
61.75 1
< 0.1%
62.12 1
< 0.1%
ValueCountFrequency (%)
270.77 1
< 0.1%
268.81 1
< 0.1%
267.93 1
< 0.1%
267.62 1
< 0.1%
267.44 1
< 0.1%
267.111 1
< 0.1%
267.04 1
< 0.1%
266.77 1
< 0.1%
266.33 1
< 0.1%
266.05 1
< 0.1%

G.S...O.p.e.n
Real number (ℝ)

Distinct2713
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.02943
Minimum54
Maximum274.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:06.071868image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum54
5-th percentile95.525
Q1145.795
median165.085
Q3191.715
95-th percentile242.2025
Maximum274.34
Range220.34
Interquartile range (IQR)45.92

Descriptive statistics

Standard deviation41.743581
Coefficient of variation (CV)0.24843017
Kurtosis-0.18167587
Mean168.02943
Median Absolute Deviation (MAD)23.215
Skewness0.065929342
Sum540382.66
Variance1742.5265
MonotonicityNot monotonic
2022-12-05T06:52:06.427119image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
167 8
 
0.2%
170 6
 
0.2%
200 6
 
0.2%
157 6
 
0.2%
167.5 5
 
0.2%
162.5 5
 
0.2%
178.5 4
 
0.1%
152.37 4
 
0.1%
150 4
 
0.1%
148.7 4
 
0.1%
Other values (2703) 3164
98.4%
ValueCountFrequency (%)
54 1
< 0.1%
54.54 1
< 0.1%
56.13 1
< 0.1%
61.33 1
< 0.1%
62.73 1
< 0.1%
63.07 1
< 0.1%
63.39 1
< 0.1%
63.65 1
< 0.1%
64.79 1
< 0.1%
65.7 1
< 0.1%
ValueCountFrequency (%)
274.34 1
< 0.1%
271 2
0.1%
270.4 1
< 0.1%
270.39 1
< 0.1%
270 1
< 0.1%
269.14 1
< 0.1%
269.04 1
< 0.1%
268.7 1
< 0.1%
268.55 1
< 0.1%
267.62 1
< 0.1%

G.S...V.o.l.u.m.e
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct3101
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6810725.5
Minimum0
Maximum1.1459063 × 108
Zeros114
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:06.644586image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1615543
Q12890761.8
median4460906.5
Q37848425
95-th percentile20684742
Maximum1.1459063 × 108
Range1.1459063 × 108
Interquartile range (IQR)4957663.2

Descriptive statistics

Standard deviation7581703.6
Coefficient of variation (CV)1.1132006
Kurtosis42.516394
Mean6810725.5
Median Absolute Deviation (MAD)1958892.5
Skewness4.7897453
Sum2.1903293 × 1010
Variance5.7482229 × 1013
MonotonicityNot monotonic
2022-12-05T06:52:06.878848image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 114
 
3.5%
3059104 2
 
0.1%
3898844 2
 
0.1%
4806565 1
 
< 0.1%
4009981 1
 
< 0.1%
2762052 1
 
< 0.1%
3207398 1
 
< 0.1%
1941251 1
 
< 0.1%
3534103 1
 
< 0.1%
3950521 1
 
< 0.1%
Other values (3091) 3091
96.1%
ValueCountFrequency (%)
0 114
3.5%
697700 1
 
< 0.1%
781289 1
 
< 0.1%
1016251 1
 
< 0.1%
1092728 1
 
< 0.1%
1107633 1
 
< 0.1%
1136152 1
 
< 0.1%
1195167 1
 
< 0.1%
1214453 1
 
< 0.1%
1229873 1
 
< 0.1%
ValueCountFrequency (%)
114590630 1
< 0.1%
112060390 1
< 0.1%
102044993 1
< 0.1%
79105731 1
< 0.1%
73187804 1
< 0.1%
71348025 1
< 0.1%
55419785 1
< 0.1%
54299112 1
< 0.1%
51738223 1
< 0.1%
50081173 1
< 0.1%

J.P.M...C.l.o.s.e
Real number (ℝ)

Distinct2262
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.065541
Minimum15.9
Maximum118.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:07.106390image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum15.9
5-th percentile32.59
Q140.7575
median47
Q360.2425
95-th percentile93.7375
Maximum118.77
Range102.87
Interquartile range (IQR)19.485

Descriptive statistics

Standard deviation18.911815
Coefficient of variation (CV)0.35638598
Kurtosis1.7559611
Mean53.065541
Median Absolute Deviation (MAD)8.935
Skewness1.4015504
Sum170658.78
Variance357.65674
MonotonicityNot monotonic
2022-12-05T06:52:07.321424image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.86 6
 
0.2%
40.73 6
 
0.2%
43.65 5
 
0.2%
44.94 5
 
0.2%
41.89 5
 
0.2%
57.04 5
 
0.2%
42.42 5
 
0.2%
41.67 5
 
0.2%
47.75 5
 
0.2%
63.6 5
 
0.2%
Other values (2252) 3164
98.4%
ValueCountFrequency (%)
15.9 1
< 0.1%
15.93 1
< 0.1%
16.6 1
< 0.1%
18.09 1
< 0.1%
19.3 1
< 0.1%
19.5 1
< 0.1%
19.51 1
< 0.1%
19.9 1
< 0.1%
20.4 1
< 0.1%
20.6 1
< 0.1%
ValueCountFrequency (%)
118.77 1
< 0.1%
118.04 1
< 0.1%
117.66 1
< 0.1%
117.36 1
< 0.1%
117.31 1
< 0.1%
116.87 1
< 0.1%
116.32 1
< 0.1%
116.25 1
< 0.1%
116.2 1
< 0.1%
115.7 1
< 0.1%

J.P.M...H.i.g.h
Real number (ℝ)

Distinct2329
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.62231
Minimum17.29
Maximum119.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:07.549208image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum17.29
5-th percentile33.3775
Q141.35375
median47.46
Q360.775
95-th percentile94.37
Maximum119.33
Range102.04
Interquartile range (IQR)19.42125

Descriptive statistics

Standard deviation18.922994
Coefficient of variation (CV)0.35289405
Kurtosis1.8494437
Mean53.62231
Median Absolute Deviation (MAD)8.89
Skewness1.4356787
Sum172449.35
Variance358.07969
MonotonicityNot monotonic
2022-12-05T06:52:07.765807image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.5 9
 
0.3%
41.24 7
 
0.2%
44.02 7
 
0.2%
41.79 6
 
0.2%
42.2 6
 
0.2%
40.75 6
 
0.2%
45.11 6
 
0.2%
42 6
 
0.2%
44.97 6
 
0.2%
42.99 6
 
0.2%
Other values (2319) 3151
98.0%
ValueCountFrequency (%)
17.29 1
< 0.1%
17.67 1
< 0.1%
19 1
< 0.1%
19.5 1
< 0.1%
20.91 1
< 0.1%
21 1
< 0.1%
21.1 1
< 0.1%
21.27 1
< 0.1%
21.56 1
< 0.1%
21.74 1
< 0.1%
ValueCountFrequency (%)
119.33 1
< 0.1%
118.9 1
< 0.1%
118.75 1
< 0.1%
118.49 1
< 0.1%
118.47 1
< 0.1%
118.08 1
< 0.1%
117.45 1
< 0.1%
117.39 1
< 0.1%
117.3529 1
< 0.1%
116.985 1
< 0.1%

J.P.M...L.o.w
Real number (ℝ)

Distinct2355
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.477074
Minimum14.96
Maximum117.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:07.992534image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum14.96
5-th percentile32.005
Q140.2275
median46.54
Q359.875
95-th percentile93.36825
Maximum117.35
Range102.39
Interquartile range (IQR)19.6475

Descriptive statistics

Standard deviation18.913145
Coefficient of variation (CV)0.36040776
Kurtosis1.6846356
Mean52.477074
Median Absolute Deviation (MAD)9.06
Skewness1.3731395
Sum168766.27
Variance357.70704
MonotonicityNot monotonic
2022-12-05T06:52:08.215794image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.5 7
 
0.2%
46.05 6
 
0.2%
42.01 6
 
0.2%
40 6
 
0.2%
42.47 5
 
0.2%
60 5
 
0.2%
40.75 5
 
0.2%
41.16 5
 
0.2%
45.12 5
 
0.2%
37 5
 
0.2%
Other values (2345) 3161
98.3%
ValueCountFrequency (%)
14.96 1
< 0.1%
15.02 1
< 0.1%
16.04 1
< 0.1%
17.13 1
< 0.1%
17.7 1
< 0.1%
18.75 1
< 0.1%
18.8 1
< 0.1%
18.88 1
< 0.1%
18.96 1
< 0.1%
19.12 1
< 0.1%
ValueCountFrequency (%)
117.35 1
< 0.1%
117.32 1
< 0.1%
117.25 1
< 0.1%
116.02 1
< 0.1%
115.83 1
< 0.1%
115.67 1
< 0.1%
115.48 1
< 0.1%
115.34 2
0.1%
115.31 1
< 0.1%
115.16 1
< 0.1%

J.P.M...O.p.e.n
Real number (ℝ)

Distinct2286
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.054911
Minimum15.37
Maximum118.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:08.576165image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum15.37
5-th percentile32.69
Q140.81
median47.02
Q360.3625
95-th percentile93.875
Maximum118.91
Range103.54
Interquartile range (IQR)19.5525

Descriptive statistics

Standard deviation18.915937
Coefficient of variation (CV)0.35653508
Kurtosis1.7716568
Mean53.054911
Median Absolute Deviation (MAD)8.96
Skewness1.40566
Sum170624.59
Variance357.81267
MonotonicityNot monotonic
2022-12-05T06:52:08.811094image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.5 8
 
0.2%
45 8
 
0.2%
41.16 6
 
0.2%
41.27 6
 
0.2%
45.24 6
 
0.2%
40.81 6
 
0.2%
42.4 6
 
0.2%
59.46 5
 
0.2%
45.7 5
 
0.2%
43.1 5
 
0.2%
Other values (2276) 3155
98.1%
ValueCountFrequency (%)
15.37 1
< 0.1%
17.19 1
< 0.1%
17.35 1
< 0.1%
18.5 1
< 0.1%
19.29 1
< 0.1%
19.71 1
< 0.1%
20.13 1
< 0.1%
20.15 1
< 0.1%
20.35 1
< 0.1%
20.83 1
< 0.1%
ValueCountFrequency (%)
118.91 1
< 0.1%
118.2 1
< 0.1%
118.14 1
< 0.1%
118 1
< 0.1%
117.82 1
< 0.1%
116.56 1
< 0.1%
116.55 1
< 0.1%
116.49 1
< 0.1%
116.04 1
< 0.1%
116.02 1
< 0.1%

J.P.M...V.o.l.u.m.e
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct3102
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26834495
Minimum0
Maximum2.1729416 × 108
Zeros114
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:09.053425image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7053994.8
Q112821548
median19589088
Q333748765
95-th percentile69996020
Maximum2.1729416 × 108
Range2.1729416 × 108
Interquartile range (IQR)20927217

Descriptive statistics

Standard deviation22795001
Coefficient of variation (CV)0.84946638
Kurtosis9.631173
Mean26834495
Median Absolute Deviation (MAD)8534940.5
Skewness2.5571839
Sum8.6299736 × 1010
Variance5.1961209 × 1014
MonotonicityNot monotonic
2022-12-05T06:52:09.375710image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 114
 
3.5%
6591800 2
 
0.1%
14727327 1
 
< 0.1%
15216691 1
 
< 0.1%
12554754 1
 
< 0.1%
21450652 1
 
< 0.1%
33736470 1
 
< 0.1%
35151970 1
 
< 0.1%
25810459 1
 
< 0.1%
24053467 1
 
< 0.1%
Other values (3092) 3092
96.1%
ValueCountFrequency (%)
0 114
3.5%
2927000 1
 
< 0.1%
3680043 1
 
< 0.1%
3836500 1
 
< 0.1%
4052853 1
 
< 0.1%
4402700 1
 
< 0.1%
4468242 1
 
< 0.1%
4532643 1
 
< 0.1%
5160700 1
 
< 0.1%
5297000 1
 
< 0.1%
ValueCountFrequency (%)
217294160 1
< 0.1%
191665424 1
< 0.1%
182812563 1
< 0.1%
159361285 1
< 0.1%
157639703 1
< 0.1%
156751466 1
< 0.1%
155350076 1
< 0.1%
154755848 1
< 0.1%
152970691 1
< 0.1%
151465987 1
< 0.1%

M.S...C.l.o.s.e
Real number (ℝ)

Distinct2292
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.357488
Minimum9.2
Maximum74.1294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:09.666142image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum9.2
5-th percentile15.2725
Q125.1675
median31.5
Q345.5375
95-th percentile65.547
Maximum74.1294
Range64.9294
Interquartile range (IQR)20.37

Descriptive statistics

Standard deviation14.709576
Coefficient of variation (CV)0.41602436
Kurtosis-0.29903778
Mean35.357488
Median Absolute Deviation (MAD)8.74
Skewness0.69080882
Sum113709.68
Variance216.37163
MonotonicityNot monotonic
2022-12-05T06:52:09.944947image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29.69 7
 
0.2%
25.15 6
 
0.2%
14.5 6
 
0.2%
16.61 6
 
0.2%
31.41 6
 
0.2%
27.65 6
 
0.2%
29.6 6
 
0.2%
26.99 5
 
0.2%
16.52 5
 
0.2%
27.21 5
 
0.2%
Other values (2282) 3158
98.2%
ValueCountFrequency (%)
9.2 1
< 0.1%
9.68 1
< 0.1%
10.05 1
< 0.1%
10.25 1
< 0.1%
11.22 1
< 0.1%
11.35 1
< 0.1%
11.94 1
< 0.1%
12.03 2
0.1%
12.04 1
< 0.1%
12.36 1
< 0.1%
ValueCountFrequency (%)
74.1294 1
< 0.1%
74.0215 1
< 0.1%
73.4985 1
< 0.1%
73.4653 1
< 0.1%
73.4487 1
< 0.1%
73.26 1
< 0.1%
73.22 2
0.1%
73.09 1
< 0.1%
72.94 1
< 0.1%
72.8842 1
< 0.1%

M.S...H.i.g.h
Real number (ℝ)

Distinct2420
Distinct (%)75.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.859372
Minimum10.21
Maximum75.4991
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:10.270997image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum10.21
5-th percentile15.81
Q125.68
median31.92
Q346.1625
95-th percentile66.4093
Maximum75.4991
Range65.2891
Interquartile range (IQR)20.4825

Descriptive statistics

Standard deviation14.815545
Coefficient of variation (CV)0.41315685
Kurtosis-0.3004809
Mean35.859372
Median Absolute Deviation (MAD)8.78
Skewness0.6995669
Sum115323.74
Variance219.50038
MonotonicityNot monotonic
2022-12-05T06:52:11.010561image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.04 6
 
0.2%
26.49 6
 
0.2%
26.65 6
 
0.2%
28.05 5
 
0.2%
25.42 5
 
0.2%
26.5 5
 
0.2%
27.83 4
 
0.1%
30.45 4
 
0.1%
33.6 4
 
0.1%
29.18 4
 
0.1%
Other values (2410) 3167
98.5%
ValueCountFrequency (%)
10.21 1
< 0.1%
11.13 1
< 0.1%
11.3 1
< 0.1%
11.88 1
< 0.1%
12.33 1
< 0.1%
12.35 1
< 0.1%
12.42 1
< 0.1%
12.7 1
< 0.1%
12.8 1
< 0.1%
12.95 1
< 0.1%
ValueCountFrequency (%)
75.4991 1
< 0.1%
75.1505 1
< 0.1%
74.9927 1
< 0.1%
74.9844 1
< 0.1%
74.146 1
< 0.1%
74.063 1
< 0.1%
73.9634 1
< 0.1%
73.7974 1
< 0.1%
73.64 1
< 0.1%
73.6 1
< 0.1%

M.S...L.o.w
Real number (ℝ)

Distinct2428
Distinct (%)75.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.842803
Minimum6.71
Maximum73.3242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:11.241918image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum6.71
5-th percentile14.9075
Q124.7975
median31.19
Q344.95
95-th percentile64.8125
Maximum73.3242
Range66.6142
Interquartile range (IQR)20.1525

Descriptive statistics

Standard deviation14.594841
Coefficient of variation (CV)0.41887678
Kurtosis-0.30661706
Mean34.842803
Median Absolute Deviation (MAD)8.815
Skewness0.67639963
Sum112054.46
Variance213.00939
MonotonicityNot monotonic
2022-12-05T06:52:12.006384image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.4 6
 
0.2%
13.3 6
 
0.2%
22.67 5
 
0.2%
24.42 5
 
0.2%
26 5
 
0.2%
27.12 5
 
0.2%
25.2 5
 
0.2%
29.28 5
 
0.2%
26.5 5
 
0.2%
17.7 4
 
0.1%
Other values (2418) 3165
98.4%
ValueCountFrequency (%)
6.71 1
< 0.1%
8.8 1
< 0.1%
9 1
< 0.1%
9.93 1
< 0.1%
10.15 1
< 0.1%
10.61 1
< 0.1%
10.77 1
< 0.1%
10.85 1
< 0.1%
11.01 2
0.1%
11.17 1
< 0.1%
ValueCountFrequency (%)
73.3242 1
< 0.1%
73.2661 1
< 0.1%
73.1831 1
< 0.1%
72.4526 1
< 0.1%
72.37 1
< 0.1%
72.3447 1
< 0.1%
72.3198 1
< 0.1%
72.22 1
< 0.1%
72.1703 1
< 0.1%
72.17 1
< 0.1%

M.S...O.p.e.n
Real number (ℝ)

Distinct2294
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.365944
Minimum9.19
Maximum75.3497
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:12.601342image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum9.19
5-th percentile15.3675
Q125.15
median31.54
Q345.5275
95-th percentile65.560175
Maximum75.3497
Range66.1597
Interquartile range (IQR)20.3775

Descriptive statistics

Standard deviation14.709446
Coefficient of variation (CV)0.4159212
Kurtosis-0.29802289
Mean35.365944
Median Absolute Deviation (MAD)8.79505
Skewness0.69214031
Sum113736.87
Variance216.36779
MonotonicityNot monotonic
2022-12-05T06:52:13.075845image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.8 6
 
0.2%
29.92 6
 
0.2%
30.76 6
 
0.2%
23.03 5
 
0.2%
32.13 5
 
0.2%
25.78 5
 
0.2%
27.1 5
 
0.2%
27.15 5
 
0.2%
30.7 5
 
0.2%
29.99 5
 
0.2%
Other values (2284) 3163
98.4%
ValueCountFrequency (%)
9.19 1
< 0.1%
9.7 1
< 0.1%
9.99 1
< 0.1%
10.61 1
< 0.1%
11.28 1
< 0.1%
11.47 1
< 0.1%
11.51 1
< 0.1%
11.64 1
< 0.1%
11.78 1
< 0.1%
11.9 1
< 0.1%
ValueCountFrequency (%)
75.3497 1
< 0.1%
74.5694 1
< 0.1%
74.2539 1
< 0.1%
73.7393 1
< 0.1%
73.6313 1
< 0.1%
73.5815 1
< 0.1%
73.55 1
< 0.1%
73.5 1
< 0.1%
73.09 1
< 0.1%
73.02 1
< 0.1%

M.S...V.o.l.u.m.e
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct3103
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15993791
Minimum0
Maximum3.2978604 × 108
Zeros114
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:13.394100image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3485052.2
Q18110089.2
median12577824
Q319447612
95-th percentile40899290
Maximum3.2978604 × 108
Range3.2978604 × 108
Interquartile range (IQR)11337523

Descriptive statistics

Standard deviation15487275
Coefficient of variation (CV)0.96833045
Kurtosis118.12771
Mean15993791
Median Absolute Deviation (MAD)5256065
Skewness7.5677973
Sum5.1436031 × 1010
Variance2.3985568 × 1014
MonotonicityNot monotonic
2022-12-05T06:52:13.663301image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 114
 
3.5%
17399801 1
 
< 0.1%
10855891 1
 
< 0.1%
6891091 1
 
< 0.1%
6614854 1
 
< 0.1%
9470327 1
 
< 0.1%
20199764 1
 
< 0.1%
23503898 1
 
< 0.1%
10400085 1
 
< 0.1%
12610322 1
 
< 0.1%
Other values (3093) 3093
96.2%
ValueCountFrequency (%)
0 114
3.5%
1349810 1
 
< 0.1%
2220169 1
 
< 0.1%
2265946 1
 
< 0.1%
2338225 1
 
< 0.1%
2495105 1
 
< 0.1%
2502298 1
 
< 0.1%
2578071 1
 
< 0.1%
2652798 1
 
< 0.1%
2678057 1
 
< 0.1%
ValueCountFrequency (%)
329786042 1
< 0.1%
321561315 1
< 0.1%
207088145 1
< 0.1%
199815501 1
< 0.1%
150062750 1
< 0.1%
138553805 1
< 0.1%
125747327 1
< 0.1%
121010335 1
< 0.1%
118926434 1
< 0.1%
103985344 1
< 0.1%

W.F.C...C.l.o.s.e
Real number (ℝ)

Distinct2021
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.832566
Minimum8.12
Maximum65.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:13.955108image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum8.12
5-th percentile24.3875
Q129.875
median35.2
Q350.4025
95-th percentile56.3425
Maximum65.93
Range57.81
Interquartile range (IQR)20.5275

Descriptive statistics

Standard deviation11.419398
Coefficient of variation (CV)0.29406756
Kurtosis-1.0547387
Mean38.832566
Median Absolute Deviation (MAD)8.115
Skewness0.25722509
Sum124885.53
Variance130.40265
MonotonicityNot monotonic
2022-12-05T06:52:14.195752image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.51 7
 
0.2%
55.78 6
 
0.2%
31.2 6
 
0.2%
33.96 6
 
0.2%
51.35 6
 
0.2%
31.4 6
 
0.2%
27.83 6
 
0.2%
28.07 5
 
0.2%
35.89 5
 
0.2%
52.56 5
 
0.2%
Other values (2011) 3158
98.2%
ValueCountFrequency (%)
8.12 1
< 0.1%
8.61 1
< 0.1%
9.66 1
< 0.1%
9.97 1
< 0.1%
10.67 1
< 0.1%
10.84 1
< 0.1%
10.91 1
< 0.1%
11.03 1
< 0.1%
11.81 1
< 0.1%
11.88 1
< 0.1%
ValueCountFrequency (%)
65.93 1
< 0.1%
65.82 1
< 0.1%
65.78 1
< 0.1%
65.65 1
< 0.1%
65.51 1
< 0.1%
65.48 1
< 0.1%
65.28 1
< 0.1%
64.73 1
< 0.1%
64.49 1
< 0.1%
64.22 1
< 0.1%

W.F.C...H.i.g.h
Real number (ℝ)

Distinct2115
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.242344
Minimum8.94
Maximum66.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:14.507251image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum8.94
5-th percentile24.92485
Q130.42
median35.54
Q350.7
95-th percentile56.89875
Maximum66.31
Range57.37
Interquartile range (IQR)20.28

Descriptive statistics

Standard deviation11.360375
Coefficient of variation (CV)0.28949277
Kurtosis-1.0684743
Mean39.242344
Median Absolute Deviation (MAD)8.055
Skewness0.27897013
Sum126203.38
Variance129.05812
MonotonicityNot monotonic
2022-12-05T06:52:14.775302image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 9
 
0.3%
34.25 8
 
0.2%
32.5 7
 
0.2%
36 6
 
0.2%
30.57 6
 
0.2%
36.23 6
 
0.2%
30.97 6
 
0.2%
54.36 5
 
0.2%
32.71 5
 
0.2%
35.98 5
 
0.2%
Other values (2105) 3153
98.0%
ValueCountFrequency (%)
8.94 1
< 0.1%
9.49 1
< 0.1%
10.7 1
< 0.1%
11.32 1
< 0.1%
11.4 1
< 0.1%
11.43 1
< 0.1%
11.77 1
< 0.1%
11.95 1
< 0.1%
12.73 1
< 0.1%
12.95 1
< 0.1%
ValueCountFrequency (%)
66.31 1
< 0.1%
66.1 1
< 0.1%
66.09 1
< 0.1%
66.04 1
< 0.1%
65.93 1
< 0.1%
65.85 1
< 0.1%
65.63 1
< 0.1%
65.5254 1
< 0.1%
64.85 1
< 0.1%
64.75 1
< 0.1%

W.F.C...L.o.w
Real number (ℝ)

Distinct2138
Distinct (%)66.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.41059
Minimum7.8
Maximum65.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:15.074225image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum7.8
5-th percentile23.87
Q129.2175
median34.97
Q350.000775
95-th percentile55.9525
Maximum65.66
Range57.86
Interquartile range (IQR)20.783275

Descriptive statistics

Standard deviation11.487946
Coefficient of variation (CV)0.29908278
Kurtosis-1.0448608
Mean38.41059
Median Absolute Deviation (MAD)8.355
Skewness0.23794902
Sum123528.46
Variance131.9729
MonotonicityNot monotonic
2022-12-05T06:52:15.318848image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27.3 7
 
0.2%
34.1 6
 
0.2%
33 6
 
0.2%
35.01 6
 
0.2%
29 5
 
0.2%
50.49 5
 
0.2%
34.2 5
 
0.2%
29.83 5
 
0.2%
28.3 5
 
0.2%
33.73 5
 
0.2%
Other values (2128) 3161
98.3%
ValueCountFrequency (%)
7.8 1
< 0.1%
8.01 1
< 0.1%
8.5 1
< 0.1%
8.81 1
< 0.1%
8.94 1
< 0.1%
10.27 1
< 0.1%
10.44 1
< 0.1%
10.56 1
< 0.1%
10.7 1
< 0.1%
11.15 1
< 0.1%
ValueCountFrequency (%)
65.66 1
< 0.1%
65.4 1
< 0.1%
65.28 1
< 0.1%
65.25 1
< 0.1%
65.16 1
< 0.1%
65.06 1
< 0.1%
64.8 1
< 0.1%
64.2249 1
< 0.1%
63.97 1
< 0.1%
63.86 1
< 0.1%

W.F.C...O.p.e.n
Real number (ℝ)

Distinct2018
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.831614
Minimum8.65
Maximum65.89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:15.568046image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum8.65
5-th percentile24.34
Q129.9475
median35.24
Q350.365
95-th percentile56.37
Maximum65.89
Range57.24
Interquartile range (IQR)20.4175

Descriptive statistics

Standard deviation11.415372
Coefficient of variation (CV)0.2939711
Kurtosis-1.0605591
Mean38.831614
Median Absolute Deviation (MAD)8.17
Skewness0.26058536
Sum124882.47
Variance130.31072
MonotonicityNot monotonic
2022-12-05T06:52:15.835084image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.1 7
 
0.2%
26.37 7
 
0.2%
36.45 7
 
0.2%
27.95 6
 
0.2%
28.5 6
 
0.2%
28.01 6
 
0.2%
27.71 6
 
0.2%
35.34 6
 
0.2%
34.5 6
 
0.2%
35.45 5
 
0.2%
Other values (2008) 3154
98.1%
ValueCountFrequency (%)
8.65 1
< 0.1%
8.73 1
< 0.1%
8.89 1
< 0.1%
10.98 1
< 0.1%
11.07 1
< 0.1%
11.18 1
< 0.1%
11.32 1
< 0.1%
11.39 1
< 0.1%
11.48 1
< 0.1%
11.54 1
< 0.1%
ValueCountFrequency (%)
65.89 1
< 0.1%
65.78 1
< 0.1%
65.7 1
< 0.1%
65.43 1
< 0.1%
65.37 1
< 0.1%
65.33 1
< 0.1%
65.27 1
< 0.1%
64.95 1
< 0.1%
64.31 1
< 0.1%
64.15 1
< 0.1%

W.F.C...V.o.l.u.m.e
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct3102
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29488098
Minimum0
Maximum4.7858297 × 108
Zeros114
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size50.2 KiB
2022-12-05T06:52:16.070113image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5551750
Q113501881
median20369940
Q333815445
95-th percentile78129304
Maximum4.7858297 × 108
Range4.7858297 × 108
Interquartile range (IQR)20313564

Descriptive statistics

Standard deviation32571907
Coefficient of variation (CV)1.1045781
Kurtosis32.592467
Mean29488098
Median Absolute Deviation (MAD)8809971
Skewness4.5647282
Sum9.4833722 × 1010
Variance1.0609291 × 1015
MonotonicityNot monotonic
2022-12-05T06:52:16.298115image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 114
 
3.5%
10594000 2
 
0.1%
17901782 1
 
< 0.1%
11085701 1
 
< 0.1%
9757390 1
 
< 0.1%
28292983 1
 
< 0.1%
25208403 1
 
< 0.1%
31046062 1
 
< 0.1%
19677616 1
 
< 0.1%
14659355 1
 
< 0.1%
Other values (3092) 3092
96.1%
ValueCountFrequency (%)
0 114
3.5%
2376000 1
 
< 0.1%
2963400 1
 
< 0.1%
3524100 1
 
< 0.1%
3654002 1
 
< 0.1%
3660300 1
 
< 0.1%
3759600 1
 
< 0.1%
3915100 1
 
< 0.1%
3954900 1
 
< 0.1%
4090600 1
 
< 0.1%
ValueCountFrequency (%)
478582974 1
< 0.1%
373671890 1
< 0.1%
371674788 1
< 0.1%
292096384 1
< 0.1%
291645183 1
< 0.1%
273375808 1
< 0.1%
255688610 1
< 0.1%
255315231 1
< 0.1%
254575794 1
< 0.1%
248081718 1
< 0.1%

Interactions

2022-12-05T06:51:43.722945image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:25.472116image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:34.546641image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:40.795265image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:47.114857image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:55.432225image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:04.855175image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:14.126696image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:22.684885image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:31.439204image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:40.045647image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:49.747840image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:59.152700image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:08.145513image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:16.817145image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:25.812328image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:34.812865image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:43.409988image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:52.187863image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:01.208546image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:11.266184image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:21.100584image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:32.330987image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:39.988039image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:49.751482image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:58.908355image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:07.977271image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:16.696921image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:26.100233image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:34.719680image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:43.998192image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:25.975134image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:34.703669image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:40.981017image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:47.269094image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:55.845868image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:05.137336image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:14.395573image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:22.962883image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:31.721848image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:40.344530image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:50.030785image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:59.452817image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:08.416089image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:17.091566image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:26.118937image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:35.099753image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:43.689806image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:52.477221image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:01.986294image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:11.563882image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:21.371286image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:32.619134image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:40.265956image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:50.036666image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:59.195946image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:08.261385image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:16.981084image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:26.371032image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:34.991982image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:44.272144image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:26.245556image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:34.871870image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:41.145823image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:47.432008image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:56.324105image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:05.414477image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:14.669038image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:23.235931image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:32.008176image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:40.638980image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:50.300133image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:59.751231image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:08.687155image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:17.353822image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:26.395316image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:35.361611image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:43.974505image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:52.745911image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:02.253210image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:11.836972image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:21.671182image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:32.889137image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:40.540815image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:50.288728image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:59.484853image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:08.533966image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:17.303653image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:26.642588image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:35.281622image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:44.548496image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:26.550585image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:35.054708image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:41.311080image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:47.612292image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:56.746197image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:05.697589image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:14.945783image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:23.525380image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:32.282755image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:40.947410image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:50.579715image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:00.095232image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:08.960880image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:17.634801image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:26.687373image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:35.653999image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:44.272676image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:53.043256image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:02.548374image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:12.124356image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:21.963545image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:33.084076image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:40.832908image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:50.572143image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:59.781565image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:08.858933image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:18.091554image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:26.932937image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:35.585450image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:44.833000image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:26.869131image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:35.211256image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:41.466039image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:47.764264image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:57.193023image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:05.980602image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:15.228306image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:23.795685image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:32.563278image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:41.238699image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:50.847271image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:00.415788image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:09.239260image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:17.907583image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:26.969189image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:35.929428image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:44.546899image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:53.312345image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:02.821163image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:12.402352image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:22.242363image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:33.242877image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:41.620640image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:50.860959image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:00.081209image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:09.157895image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:18.364474image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:27.211493image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:35.903909image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:45.136668image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:27.277982image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:35.389330image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:41.656237image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:47.972827image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:57.609349image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:06.299121image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:15.534098image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:24.097083image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:32.857179image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:41.599110image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:51.148577image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:00.797542image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
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2022-12-05T06:49:06.743158image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:15.416176image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:23.887151image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:33.297268image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:41.999930image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:50.748766image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:59.766360image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:09.705049image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:19.397071image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:30.594502image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:38.516551image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:48.302818image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:57.442776image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:06.439361image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:15.267306image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:24.641305image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:33.290976image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:42.285341image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:51.392920image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:33.604857image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:40.115066image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:46.442925image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:54.485356image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:03.615473image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:13.003729image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:21.552719image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:30.265287image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:38.875624image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:48.544741image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:57.443632image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:07.019642image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:15.696419image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:24.171101image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:33.599628image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:42.283394image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:51.036526image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:00.068450image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:10.030689image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:19.808019image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:30.998955image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:38.808825image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:48.593417image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:57.734917image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:06.747509image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:15.546804image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:24.925263image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:33.573631image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:42.569999image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:51.691656image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:33.852564image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:40.287895image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:46.612763image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:54.755590image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:03.931890image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:13.275645image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:21.831914image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:30.559988image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:39.162943image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:48.838184image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:57.901234image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:07.308599image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:15.973155image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:24.462295image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:33.907592image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:42.562978image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:51.330099image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:00.354369image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:10.347041image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:20.230470image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:31.383414image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:39.112594image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:48.876157image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:58.022755image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:07.054707image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:15.833987image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:25.206793image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:33.865606image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:42.852689image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:51.976119image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:34.060977image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:40.454134image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:46.778857image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:55.004973image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:04.234679image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:13.558300image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:22.112861image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:30.850414image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:39.451217image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:49.145458image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:58.342076image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:07.585266image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:16.254801image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:24.746158image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:34.218664image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:42.846877image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:51.609352image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:00.628759image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:10.644848image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:20.520326image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:31.709816image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:39.402030image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:49.156743image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:58.320621image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:07.352488image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:16.121230image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:25.480078image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:34.155512image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:43.141162image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:52.265426image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:34.287946image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:40.623731image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:46.956173image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:47:55.193033image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:04.537619image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:13.838592image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:22.400188image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:31.151355image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:39.737552image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:49.444584image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:48:58.750261image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:07.862386image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:16.541914image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:25.031807image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:34.514270image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:43.132362image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:49:51.893927image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:00.910111image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:10.955321image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:20.808073image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:32.030224image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:39.692715image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:49.464414image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:50:58.609815image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:07.659076image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:16.409534image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:25.799267image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:34.432565image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2022-12-05T06:51:43.422275image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Correlations

2022-12-05T06:52:16.559062image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Auto

The auto setting is an interpretable pairwise column metric of the following mapping:
  • Variable_type-Variable_type : Method, Range
  • Categorical-Categorical : Cramer's V, [0,1]
  • Numerical-Categorical : Cramer's V, [0,1] (using a discretized numerical column)
  • Numerical-Numerical : Spearman's ρ, [-1,1]
The number of bins used in the discretization for the Numerical-Categorical column pair can be changed using config.correlations["auto"].n_bins. The number of bins affects the granularity of the association you wish to measure.

This configuration uses the recommended metric for each pair of columns.
2022-12-05T06:52:17.186851image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-12-05T06:52:17.793155image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-12-05T06:52:18.374258image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-12-05T06:52:19.149340image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-12-05T06:51:52.817055image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
A simple visualization of nullity by column.
2022-12-05T06:51:54.550093image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

B.A.C...C.l.o.s.eB.A.C...H.i.g.hB.A.C...L.o.wB.A.C...O.p.e.nB.A.C...V.o.l.u.m.eC...C.l.o.s.eC...H.i.g.hC...L.o.wC...O.p.e.nC...V.o.l.u.m.eG.S...C.l.o.s.eG.S...H.i.g.hG.S...L.o.wG.S...O.p.e.nG.S...V.o.l.u.m.eJ.P.M...C.l.o.s.eJ.P.M...H.i.g.hJ.P.M...L.o.wJ.P.M...O.p.e.nJ.P.M...V.o.l.u.m.eM.S...C.l.o.s.eM.S...H.i.g.hM.S...L.o.wM.S...O.p.e.nM.S...V.o.l.u.m.eW.F.C...C.l.o.s.eW.F.C...H.i.g.hW.F.C...L.o.wW.F.C...O.p.e.nW.F.C...V.o.l.u.m.e
Date
2006-01-0246.1546.3645.9146.020.0485.3487.1482.2483.50.0127.71128.07126.70127.150.039.6939.7939.4839.710.047.100847.333346.710747.27510.031.41531.53531.21531.4150.0
2006-01-0347.0847.1846.1546.9216197900.0492.9493.8481.1490.01536700.0128.87129.44124.23126.706168700.040.1940.3639.3039.8312838000.048.404148.553547.100847.45786354408.031.90031.97531.19531.60011015000.0
2006-01-0446.5847.2446.4547.0017427400.0483.8491.0483.5488.61852790.0127.09128.91126.38127.354834700.039.6240.1439.4239.7811836800.048.437349.209348.437348.72789292188.031.53031.82031.36531.80010594000.0
2006-01-0546.6446.8346.3246.5814668900.0486.2487.8484.0484.41015470.0127.04127.32125.61126.003688100.039.7439.8139.5039.617658700.048.570148.636548.163448.60336534262.031.49531.55531.31031.5009927600.0
2006-01-0646.5746.9146.3546.8011965700.0486.2489.0482.0488.81358930.0128.84129.25127.29127.294249100.040.0240.2439.5539.927812700.048.619948.852448.188348.78608146445.031.68031.77531.38531.5808324000.0
2006-01-0946.6046.9746.3646.7215536300.0483.9487.4483.0486.01625400.0130.39130.62128.00128.504693200.040.6740.7239.8839.8816277300.049.134649.217648.664848.66974985805.031.67531.82531.55531.6755589600.0
2006-01-1046.2146.5145.8846.4015507500.0485.4485.5480.8483.01335690.0132.03132.95130.02130.055577100.040.7340.7540.0740.5016420300.049.159549.159548.628248.85245215652.031.65031.68531.44531.5506727200.0
2006-01-1146.1046.2545.7546.0614562000.0489.8495.8485.8495.81684440.0131.97133.80131.42131.454600500.040.7040.8740.6140.7312170500.049.450049.707448.844149.10146635694.031.81531.89531.57531.6507954000.0
2006-01-1245.8046.2345.7146.2210394900.0490.3491.0488.8491.01225090.0132.25133.21131.38131.403705000.039.9540.4239.9040.2512200600.049.367049.624449.201049.49994597908.031.44531.79031.43031.70510594000.0
2006-01-1345.8046.0045.6845.8310742100.0489.2491.9487.3491.0907880.0133.26133.66131.90132.022890500.039.9240.0339.6539.7810807800.049.292349.533149.026749.45004122312.031.62531.79531.51031.5506314200.0
B.A.C...C.l.o.s.eB.A.C...H.i.g.hB.A.C...L.o.wB.A.C...O.p.e.nB.A.C...V.o.l.u.m.eC...C.l.o.s.eC...H.i.g.hC...L.o.wC...O.p.e.nC...V.o.l.u.m.eG.S...C.l.o.s.eG.S...H.i.g.hG.S...L.o.wG.S...O.p.e.nG.S...V.o.l.u.m.eJ.P.M...C.l.o.s.eJ.P.M...H.i.g.hJ.P.M...L.o.wJ.P.M...O.p.e.nJ.P.M...V.o.l.u.m.eM.S...C.l.o.s.eM.S...H.i.g.hM.S...L.o.wM.S...O.p.e.nM.S...V.o.l.u.m.eW.F.C...C.l.o.s.eW.F.C...H.i.g.hW.F.C...L.o.wW.F.C...O.p.e.nW.F.C...V.o.l.u.m.e
Date
2018-04-1730.0430.3729.8830.1783475898.069.7470.925069.470070.6518233370.0253.63262.2500252.34261.6010134395.0110.21111.9200109.99111.3715501350.053.2454.10052.770054.0114505328.050.5751.16050.49050.9525507078.0
2018-04-1829.5330.2229.5030.0379743217.068.9870.360068.850069.8115382852.0254.00257.0200252.25254.904524761.0109.32111.0700108.89110.5316081436.053.2655.00052.930053.9117524005.050.3950.97050.26050.7821055691.0
2018-04-1930.1830.2429.5429.5580902612.070.2870.610069.100069.1015531636.0254.17256.1600252.83254.003990014.0111.72111.8700109.50109.5317910955.054.7054.83053.340053.3613873694.051.5451.61050.49050.5123678427.0
2018-04-2030.2630.5330.1330.2665554553.070.0070.841369.750070.4017629879.0251.96255.6800251.48254.102930638.0111.47112.7400110.88112.3015584384.054.4655.33054.099254.8910183582.052.5652.82051.82051.9331149270.0
2018-04-2330.3230.4030.1230.2750686347.069.4870.270069.400070.0011596358.0246.67252.7500246.19251.663775874.0110.93111.9500110.63111.5711285831.053.6454.59053.330154.558523564.052.6152.84052.17552.5517723926.0
2018-04-2430.1930.8630.0030.4681486781.069.1270.620068.400169.7616233650.0242.49249.1500240.04248.824705066.0110.41112.9000109.59111.7516453112.053.0754.61552.435053.9610742663.052.5153.74552.18052.9523052062.0
2018-04-2530.1430.3429.8030.0965893478.069.3669.765068.050068.7716059671.0239.23242.4617237.51242.195041420.0109.99110.5300108.60110.2713548246.052.0452.87051.820052.8512622985.053.1153.49051.92552.4420978459.0
2018-04-2630.0730.2829.9930.0445936713.069.1869.590068.900069.1113829682.0240.09241.6600238.01239.272891094.0110.10110.8200109.34109.9710299488.052.2052.60051.670052.0114668929.052.4453.11052.25552.9917025831.0
2018-04-2730.1530.2129.9729.9947411234.068.9969.437768.740069.0010420057.0239.80241.9289239.02240.002136781.0109.40110.1599109.13109.559383967.051.8652.51051.780051.847784472.052.3652.94052.20552.2812304308.0
2018-04-3029.9230.4329.9230.2755153947.068.2769.590068.250069.2012237893.0238.33243.0700238.22240.972790458.0108.78110.3000108.75109.7513744860.051.6252.50051.580052.188209733.051.9653.05051.96052.5617050544.0

Duplicate rows

Most frequently occurring

B.A.C...C.l.o.s.eB.A.C...H.i.g.hB.A.C...L.o.wB.A.C...O.p.e.nB.A.C...V.o.l.u.m.eC...C.l.o.s.eC...H.i.g.hC...L.o.wC...O.p.e.nC...V.o.l.u.m.eG.S...C.l.o.s.eG.S...H.i.g.hG.S...L.o.wG.S...O.p.e.nG.S...V.o.l.u.m.eJ.P.M...C.l.o.s.eJ.P.M...H.i.g.hJ.P.M...L.o.wJ.P.M...O.p.e.nJ.P.M...V.o.l.u.m.eM.S...C.l.o.s.eM.S...H.i.g.hM.S...L.o.wM.S...O.p.e.nM.S...V.o.l.u.m.eW.F.C...C.l.o.s.eW.F.C...H.i.g.hW.F.C...L.o.wW.F.C...O.p.e.nW.F.C...V.o.l.u.m.e# duplicates
09.129.129.129.120.036.636.636.636.60.0119.44119.44119.44119.440.041.1641.1641.1641.160.017.040017.040017.04017.04000.033.9733.9733.9733.970.02
153.3953.7853.2553.650.0557.0560.9555.5558.50.0199.35202.40199.32200.930.048.3048.9148.2748.750.067.596468.069667.44767.56320.035.5635.9135.4835.820.02